Senior Data Analyst, Marketing

Responsibilities

• Own marketing performance measurement across channels including Meta, Google, paid social, affiliates, and influencer partnerships.
• Develop attribution frameworks to evaluate acquisition, conversion, retention, and revenue performance.
• Partner with marketing teams to optimise campaigns, audience targeting, creative performance, and budget allocation.
• Analyse the end-to-end customer journey to identify drop-off points, behavioural trends, and growth opportunities.
• Deliver insights to improve conversion, onboarding, CRM, lifecycle communications, retention, and customer value.
• Own reporting and analysis for key subscription KPIs including CAC, LTV, payback period, churn, retention, conversion rate, subscription growth, and channel ROI.
• Apply advanced analytics using SQL, Python, or R for cohort analysis, forecasting, predictive modelling, and Marketing Mix Modelling.
• Build and maintain dashboards and self-serve reporting in Tableau to support data-driven decision-making.
• Translate complex analysis into clear, actionable recommendations for senior stakeholders.
• Use SQL and dbt to develop trusted, scalable data models and analytics infrastructure.

Requirements

• 3–5+ years of experience in marketing analytics, growth analytics, commercial analytics, or a similar data-focused role.
• Experience working in a high-growth, fast-paced environment, ideally within D2C healthcare, subscription, consumer health, wellness, ecommerce, or a startup environment.
• Strong experience analysing paid marketing performance across channels such as Meta, Google, paid search, paid social, influencer, affiliates, or CRM.
• Experience owning and reporting on subscription or customer growth metrics, such as CAC, LTV, retention, churn, payback period, and cohort performance.
• Advanced SQL skills and experience working with large, complex datasets.
• Experience using dbt for data transformation, modelling, testing, and documentation.
• Strong Tableau experience, including building dashboards for senior stakeholders and non-technical users.
• Experience using Python or R for advanced analysis, predictive modelling, forecasting, or statistical modelling.
• Ability to translate complex datasets into clear, non-technical narratives that influence senior decision-making.
• Excellent communication, presentation, and stakeholder management skills.

Preferred

• Experience with Marketing Mix Modelling or incrementality testing (Desireable)
• Experience with PostHog, Braze, or similar product analytics and CRM platforms (Desireable)
• Experience working with clinical, health, patient, or outcomes data (Desireable)

Benefits

• A mission-driven team focused on closing the women's health gap
• Breakfast and all day snacks
• Monthly socials
• Health care Cash Plan including physio, digital clinical appointments and wellbeing for you, your partner and children
• £80 contribution to noise cancelling headphones
• Life insurance cover of 4x salary
• Pension contribution matched up to 5%
• Cycle to work scheme
• We want to make sure our interview process is fully accessible to everyone. Please let us know if you require any reasonable adjustments or physical accommodations for your visit to our office.
• Please note that offers of employment are subject to receipt of satisfactory references and a enhanced DBS check.